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@@ -251,7 +251,7 @@ def xgb_multi_dt_data(t_1_label_dt: datetime):
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def _main():
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logger.info(f"XGB模型训练")
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- train_df = xgb_multi_dt_data((datetime.now() - timedelta(days=3)))
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+ train_df = xgb_multi_dt_data((datetime.now() - timedelta(days=2)))
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trains_array = train_df[features_name].values
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trains_label_array = train_df['label'].values
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@@ -273,7 +273,7 @@ def _main():
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model.fit(trains_array, trains_label_array)
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logger.info("获取评测数据")
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- start_label_datetime = datetime.now() - timedelta(days=2)
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+ start_label_datetime = datetime.now() - timedelta(days=1)
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feature_start_datetime = start_label_datetime
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predict_df = fetch_data(start_label_datetime, feature_start_datetime, start_label_datetime)
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